ConvertEdge Tech accelerates legacy application modernization by 50 to 70% using Gen AI, while ensuring 100% functional parity with your existing system. Our platform and engineering team handle every phase, from assessment to production deployment.
Legacy modernization is one of the most critical (and most expensive) programs any technology organization undertakes. Mounting technical debt, undocumented code, outdated frameworks, and the risk of breaking mission-critical business logic make modernization feel almost impossibly risky.
Traditional tools like GitHub Copilot and Microsoft Copilot are designed to write new code, not to understand the full context of a 20-year-old codebase. They operate at the code-snippet level, not at the application, module, and business-logic level. They have no pre-built recipes for modernization, no deployment automation, and no architecture revamp capability. The result: slow progress, rework, and incomplete migrations.
Our platform is purpose-built for legacy modernization. It understands the full structure of your application, from method level to system architecture, and applies a team of AI agents alongside human engineers to deliver a complete modernization outcome.
From method level to system architecture: comprehension first, conversion second, parity always.
Our platform pairs a coordinated team of AI agents with human engineers across every phase (comprehension, planning, conversion, and verification), so nothing falls through the cracks between assessment and production.
Upload your legacy codebase and receive a comprehensive AI-powered assessment in 2 to 5 days. The assessment covers technical debt analysis, architecture drift identification, security vulnerability mapping, and modernization hotspot prioritization. Available at zero cost for one representative codebase.
2–5 day turnaround · free for one codebaseLegacyleap generates documentation that reads as if an architect has been with your application since day one. It auto-documents the entire legacy application, covering functional and technical documentation, complete system inventory (SBOM), API specs, PRDs, BRDs, FSDs, and integration maps, all kept up to date automatically.
SBOM + API specs · always currentGenerates a complete modernization recommendation including target architecture, microservices decomposition, framework and library choices, refactoring opportunities, and a full step-by-step migration plan tailored to your stack. You know precisely what to modernize, in what order, and with what effort.
Target architecture + migration planAutomates approximately 70% of legacy application modernization. The platform converts legacy code into well-architected, modern applications the way a world-class modernization team would. Human-in-the-loop controls bring business logic over the finish line with confidence. Outputs include converted code, a gap report, a to-do list, pull requests, and automated PR review.
~70% automated · human-in-the-loopAuto-generates unit, integration, and regression test cases. QA specialists refine them and run them against live servers. Differential checks confirm legacy-to-modern parity. Expect approximately 2x faster test creation versus manual approaches.
~2x faster test creation · parity verifiedWhether your business logic is locked inside VB6 forms, EJB session beans, or decades-old ETL pipelines, we map it to a modern target your engineers will actually want to maintain.
| Legacy Stack | Target Modern Stack |
|---|---|
| VB6, Classic ASP | .NET Core, Angular, React |
| EJB 2/3, JSP, Struts | Spring Boot, Quarkus, Microservices |
| VB.NET, .NET 1.0 / 2.0 / 3.5 | .NET 6+, REST APIs |
| ColdFusion, Perl, PHP, Ruby on Rails | Node.js, Python, React |
| Ab Initio, Informatica, DataStage | Spark, Airflow, dbt |
| Monolith architectures | Domain-driven microservices |
Additional stacks are available on request.
Stacks we have modernized
Copilots accelerate writing new code. Modernization is a different problem: it demands comprehension, governance, and end-to-end coverage that snippet-level assistants were never built to provide.
Our platform runs inside your enterprise infrastructure. Your codebase never touches a public cloud or external server. Copilots operate on shared cloud infrastructure and cannot offer the same data residency guarantees for sensitive legacy code and IP.
Copilots translate code snippets. Our platform transforms entire codebases, preserving design, structure, and higher-level abstractions that define the system. This produces accurate, idiomatic code that does not introduce structural regressions.
Our platform covers every stage: comprehension, assessment, conversion, safety nets, deployment, and security governance. Copilots cover only the code-generation step and require manual integration of every other phase.
A virtual team of QA engineers, developers, architects, and business analysts, all trained specifically for legacy modernization, works in tandem on your engagement. Copilots provide one-off AI-driven calls without coordinated multi-disciplinary support.
Our platform includes prebuilt templates for monolith-to-microservices transitions and other major architecture transformations. Copilots have no architecture overhaul capability.
We automatically generate all deployment artifacts, including Helm charts for Kubernetes and Terraform scripts for cloud infrastructure, alongside code transformation. Copilots require separate, manual deployment tooling.
Choose a fully managed modernization engagement with our engineers accountable for the outcome, or license the platform and modernize inside your own environment at your own pace.
We take full ownership from start to finish, combining engineering expertise with platform accountability for production-grade output, not proof of concepts.
Deploy the platform within your own environment and modernize at your own pace, with the same agents and safety nets our engineers use on managed engagements.
Our five-pillar security framework ensures enterprise-grade protection throughout every modernization engagement.
Zero Trust architecture, role-based access control, micro-segmentation, and continuous authentication. On-premise, private cloud, or hybrid deployment options.
Prompt security and sanitization, data context segmentation using the Principle of Least Privilege, and human-in-the-loop input validation for high-risk operations.
Pre-processing code validation, structured output constraints, hallucination detection, and session-based memory limits to prevent cross-session data exposure.
Multi-model code evaluation using AI critics and self-criticism, adherence to OWASP Top 10 and SEI CERT Guidelines, predefined architectural templates that prevent freeform insecure outputs.
Full explainability and audit logs for every AI-generated decision, isolated execution sandboxing before production deployment, and final human-in-the-loop approval for all changes.
We scan a representative portion of your legacy codebase and deliver export-ready documentation, architecture maps, dependency graphs, and system insights, all in 3 to 5 days. No cost. No commitment.